About Us

We are a specialty chemicals manufacturing company with a full stack solution from R&D to manufacturing and global supply chain of chemicals to 26+ countries. Headquartered in Bengaluru, India we cater to pharmaceutical, agrochemical, industrial chemicals, food, nutraceuticals and animal nutrition industries.

Our B2B fulfillment platform supports businesses globally in developing and manufacturing chemicals from lab to commercial scale. With a team of in-house R&D experts and scientists, we offer custom synthesis and route scouting services to support manufacturers in product development.

We are VC backed - here is a read. We are 450+ people strong and have entities in India, Japan, USA, UAE and Indonesia. We are currently exporting to over 17 countries from India.

Read to learn more https://lnkd.in/gd7brT8S

Role Summary

We are hiring a Principal Engineer to drive engineering excellence across performance optimization, platform reliability, DevOps maturity, and cloud cost efficiency.

This is a high-impact, hands-on leadership role for someone who can diagnose complex bottlenecks, simplify architecture, strengthen delivery systems, and enable faster, higher-quality releases using modern engineering practices and AI-assisted development workflows.

You will elevate the entire engineering organization by setting technical standards, mentoring teams, and aligning architecture decisions with product and business outcomes.

Key Outcomes

Improve application and API performance across critical user journeys
Increase platform reliability and operational predictability
Reduce cloud and infrastructure costs through architectural and FinOps discipline
Improve engineering velocity via better systems, standards, and AI-enabled workflows

Core Responsibilities

Performance & Scalability
Lead performance diagnosis across frontend and backend systems
Optimize API efficiency (caching, batching, pagination, payload tuning, N+1 elimination)
Improve database performance (indexing, query plan analysis, connection pooling, read/write optimization)
Define and enforce performance standards and SLOs (latency, throughput, error rate)
Drive improvements in Core Web Vitals and backend response metrics
Platform, DevOps & Reliability
Strengthen CI/CD pipelines for faster builds, safer deployments, and reliable rollbacks
Improve infrastructure patterns for environments, secrets, observability, and readiness
Implement resilience mechanisms (retries, circuit breakers, auto-scaling, async processing)
Lead incident management, postmortems, and root cause analysis
Improve deployment frequency and reduce MTTR
Cloud Cost Optimization
Identify infrastructure waste across compute, storage, logs, and networking
Establish cost visibility per service and environment
Drive architectural decisions that reduce unit cost without impacting reliability
Engineering Efficiency & AI Enablement
Introduce strong engineering standards (code quality, testing, documentation, PR hygiene)
Enable responsible adoption of AI-assisted development workflows (test generation, refactoring, migrations)
Build reusable internal accelerators (templates, scaffolds, shared libraries, golden paths)
Mentor engineers and raise technical maturity across squads
Product & Technical Leadership
Translate ambiguous problems into measurable goals and execution plans
Partner with Product to prioritize based on impact and feasibility
Drive cross-functional alignment on architecture and roadmap
Lead through influence and technical credibility

Requirements

8–12+ years of experience building and scaling web applications and backend systems
Proven track record improving production performance and reliability
Strong backend fundamentals: API design, caching, databases, distributed systems
Strong DevOps fundamentals: CI/CD, observability, incident response
Demonstrated experience reducing cloud costs through engineering improvements
Strong ownership mindset and excellent communication skills

Preferred Qualifications

Experience optimizing React / Next.js applications (Core Web Vitals, bundle size, hydration)
Experience tuning Python / FastAPI services (profiling, async patterns, throughput tuning)
Hands-on experience with AWS or GCP, containers, and modern observability stacks (OpenTelemetry, Grafana, Datadog, ELK)
Experience building internal platforms or developer productivity systems.
Experience integrating AI tooling into engineering workflows with quality guardrails.

Principal Engineer (Performance, Platform and AI Acceleration)